NeurIPS 2023 Conference Submissions

StableFDG: Style and Attention Based Learning for Federated Domain Generalization
Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher Brinton, Jaekyun Moon
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
Fabian Zaiser, Andrzej S Murawski, Luke Ong
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
Separable Physics-Informed Neural Networks
Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck
Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, eran malach, Cyril Zhang
- Published: 21 Sept 2023, Last Modified: 31 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Exposing Attention Glitches with Flip-Flop Language Modeling
Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
- Published: 21 Sept 2023, Last Modified: 20 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Synthetic-to-Real Pose Estimation with Geometric Reconstruction
Qiuxia Lin, Kerui Gu, Linlin Yang, Angela Yao
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Goal-conditioned Offline Planning from Curious Exploration
Marco Bagatella, Georg Martius
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees
Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So
- Published: 21 Sept 2023, Last Modified: 05 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Rao Kompella, Zhangyang Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
- Published: 21 Sept 2023, Last Modified: 20 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller
- Published: 21 Sept 2023, Last Modified: 28 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Differentially Private Image Classification by Learning Priors from Random Processes
Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal
- Published: 21 Sept 2023, Last Modified: 17 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Recasting Continual Learning as Sequence Modeling
Soochan Lee, Jaehyeon Son, Gunhee Kim
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Generalization bounds for neural ordinary differential equations and deep residual networks
Pierre Marion
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation
Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Sadashiv Gangan, Song Jiang, Yizhou Sun
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Anytime-Competitive Reinforcement Learning with Policy Prior
Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models
Lin Li, Jun Xiao, Guikun Chen, Jian Shao, Yueting Zhuang, Long Chen
- Published: 21 Sept 2023, Last Modified: 04 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
Zhuoyan Luo, Yicheng Xiao, Yong Liu, Shuyan Li, Yitong Wang, Yansong Tang, Xiu Li, Yujiu Yang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Structured Semidefinite Programming for Recovering Structured Preconditioners
Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Jiayi Shen, Xiantong Zhen, Cheems Wang, Marcel Worring
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Qijian Zhang, Junhui Hou, Yohanes Yudhi Adikusuma, Wenping Wang, Ying He
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
Bo Xue, Yimu Wang, Yuanyu Wan, Jinfeng Yi, Lijun Zhang
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone